Chip comparison
Google TPU v5e vs Tenstorrent Blackhole
Side-by-side specs
Straight from each vendor's datasheet. Winner in bold: higher throughput, memory, or transistor count; lower power draw or price. Sparse (2:4) throughput roughly doubles the FP8/INT8 numbers shown.
| Field | Google TPU v5e | Tenstorrent Blackhole |
|---|---|---|
| Process node | — | TSMC N6 |
| TDP | 170 W | 300 W |
| Memory | 16 GB HBM2 | 32 GB GDDR6 |
| Memory bandwidth | 819 GB/s | 512 GB/s |
| FP16 (dense) | — | 745 TFLOPS |
| BF16 (dense) | 197 TFLOPS | — |
| INT8 (dense) | 393 TOPS | 2,980 TOPS |
| Form factor | OAM (v5e pod, up to 256 chips) | PCIe |
| Announced | 2023-08-29 | 2024-07-01 |
| Released | 2023-11-01 | 2025-01-01 |
Robots running Google TPU v5e
No robots publicly running it yet.
Robots running Tenstorrent Blackhole
No robots publicly running it yet.
Data centers with Google TPU v5e
Data centers with Tenstorrent Blackhole
No data centers publicly running it yet.
Common questions
Google TPU v5e vs Tenstorrent Blackhole: which is faster for training?
Tenstorrent Blackhole has 3.78x the dense FP16/BF16 throughput of the other (Google TPU v5e: 197 TFLOPS; Tenstorrent Blackhole: 745 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
Google TPU v5e vs Tenstorrent Blackhole: which has more memory?
Tenstorrent Blackhole carries more HBM (Google TPU v5e: 16 GB HBM2; Tenstorrent Blackhole: 32 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Google TPU v5e vs Tenstorrent Blackhole: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Google TPU v5e 1.16 (197 ÷ 170 W); Tenstorrent Blackhole 2.48 (745 ÷ 300 W). Tenstorrent Blackhole wins at the die level; system-level efficiency also depends on cooling and interconnect.
Google TPU v5e vs Tenstorrent Blackhole: which is more widely used?
Google TPU v5e: 0 robots and 1 data center publicly running it. Tenstorrent Blackhole: 0 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · Google TPU v5e full page · Tenstorrent Blackhole full page.